We Studied 15 Wearables In A Sleep Lab!

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Video edited by Alex: linktr.ee/allexb

📸My Gear* (paid links, supports the channel and doesn’t cost you any more)📸
Camera body (main): geni.us/SonyA6600_body
Camera lens (main): geni.us/SigmaContemporary
Camera (B-roll 1): geni.us/Sony_ZVE1
Camera (B-roll 2): geni.us/CanonEosM50MarkII and geni.us/Sony_ZVE10
Light: geni.us/Godox_VL150
Softbox: geni.us/NiceFotoSoftbox
Light stand: geni.us/WalimexLightstand
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Reference devices:
ZMax + Dreamento: biorxiv.org/content/10.1101/2023.08.18.553744v1 & github.com/dreamento/dreamento
Polar H10: pubmed.ncbi.nlm.nih.gov/31004219
🔴 Polar H10: geni.us/hnXc

Timestamps:
00:00 Introduction to the sleep study and initial results overview
00:30 Winners and losers based on key metrics
04:32 Study setup and participants
06:33 Device accuracy in predicting sleep stage percentages
08:43 The importance of tracking day-to-day sleep variation
14:14 Best devices for most people!
15:57 My normal plots: Average vs. Worst Sensitivity. And final ranking
19:40 Where to find the preprint link and what's next

Our sleep study preprint is out 🎉🔥: osf.io/preprints/psyarxiv/27wun_v1
Some important notes 📝(!):
(1) WHOOP will be rescored with the new algorithm, and the preprint updated once that is done (i.e. WHOOP will likely improve)
(2) Google/Fitbit is based on their old algorithm. Unfortunately, they couldn't rescore it.
(3) There are still some errors in the text: important, Garmin Vivoactive 6 should (I believe) be Garmin Vivoactive 5
(4) This is a preprint, and it hasn't gone through peer review yet!
(5) I am a co-author, and was mostly involved in the setup of the study and data extraction. All the formal analyses and practicals were done by Pavlos and also Laurin
(6) My conflicts of interests (affiliate links) still need to be added.